Friday, April 1, 2016

Teradata on Tuesday announced it is adding a data management platform (DMP) to its marketing cloud through the acquisition of Netherlands-based FLXone. This is interesting on several levels, including:

- It makes Teradata the third of the big marketing cloud vendors to add a DMP, joining Oracle DMP (BlueKai) and Adobe Audience Manager. I already expected the other cloud vendors to do this eventually; now I expect that will happen even sooner. I’m looking at you, Salesforce.com.

- Unlike Oracle and Adobe, Teradata has stated (in a briefing about the announcement) that it intends to use the DMP as the primary data store for all components of its suite. I see this as a huge difference from the other vendors, who maintain separate databases for each of their suite components and integrate them largely by swapping audience files with a few data elements on specified customers. (In fact, Adobe just last week briefed analysts on a new batch integration that pushes Campaign data into Audience Manager to build display advertising lookalike audiences. The process takes 24 hours.)

Of course, we’ll see what Teradata actually delivers in this regard. It's also important to recognize that performance needs will almost surely require intermediate layers between the DMP's primary data store and the actual execution systems. This means the distinction between a single database and multiple databases isn’t as clear as I may be seeming to suggest. But I still think it’s an important difference in mindset. In case it isn’t obvious, I think real integration does ultimately require running all systems on the same primary database.

- It is still more evidence of the merger between ad tech and martech. I know I wrote last week that this is old news, but there’s still plenty of work to be done to make it a reality. One consequence of "madtech" is complete solutions are even larger than before, making them even harder for non-giant firms to produce. That’s the primary lesson I took away from last week’s news that StrongView had been merged into Selligent: although StrongView’s vision of omni-channel “contextual marketing” made tons of sense, they didn’t have the resources to make it happen. (See J-P De Clerck's excellent piece for in-depth analysis of the StrongView/Selligent deal.) I’m not sure the combined Selligent/StrongView is big enough either, or that Sellingent owner HGGC will make the other investments needed to fill all the gaps.

To be clear: I'm not saying small martech/adtech/madtech firms can't do well. I think they can plug into a larger architecture that sits on top of a customer data platform and perhaps a shared decision platform. But I very much doubt that a mid-size software firm can build or buy a complete solution of its own. If you're wondering just who I have in mind...well, Mom always told me that if I couldn’t say something nice, I shouldn’t say anything at all. So I won’t name names.

DAMA defines Data management as development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets.

On a colloquial note, Right Data at the Right time to the Right person defines good Data Management practice. But what is the Right place for the Data management organization within the Business.

From the definition, it is reasonably clear to assume that data management is a culmination of activities that run across both IT and Business. Within the E&P upstream industry, there has always been an ambiguity around where the Data management organization be - within IT, within Business, across both IT and Business, a siloed organization on its own. Every approach has its pros and cons.

Business owns the data, so should the business have a team to manage their data. The advantage of this approach is (a) Business is a profit center. This will help in funding and sustenance of Data management (b) Good understanding of business helps in effective and efficient Data management.

On the other hand, this promotes technology and solution created within the business which may not be healthy on a longer run. The emergence of Shadow IT and Siloed / pointed solutions are a result of doing DM within Business

Data Management within IT can help provide a overarching enterprise wide Data management Platform and can help in sustainable solutions. However IT is a cost center and the IT mantra year on year is how to reduce cost. Building and sustaining DM needs requires consistent funding and the IT mantra will degrade the value of Data management within the Organization. Further more the translation of Business requirements to IT requirements adds to the gaps in entirety of the solution.

Having data management organization split across IT and Business will ensure that the activities belong where they should belong. It is however a well known secret on how Business and IT work with each other. Processes, Documentation, Communication gap, Friction and preconceived thoughts will become the routine that will hinder the progress of Data management. A typical light hearted example is shown.

Data management as its own organization is healthy in many ways. It provides a clear focus on Information and Data management. The end to end accountability is very clear and not barred by the disadvantages of Business or IT rules of engagement. There might be occasional rifts with IT but with strong relations this can be subsided. When the climate is good, this model provides the best of both worlds and becomes a value add to the enterprise. However it also comes with its disadvantages. Delivering a initial business case and make the leader of the organization buy in to this model is a uphill task. When the chips are down and the company / industry is not doing well, this will an easy target to kill / outsource and could be demotivating factor for the employee.

In conclusion there is no one size fits all. With the world becoming digital and everything getting driven by data, it is time for industries to consider a Chief Data office to run a Data Management Organization.

“My iPhone 6 stuck on the white Apple logo screen after jailbreak, I tried several methods but can not return the device to normal state.

Any solution for this? Thanks in advanced.”

Until now, high technology has brought us a lot of convenience and you may find your life is better than ever. At the same time, you also want to make your device, such as iPhone better, well, you reset, upgrade or jailbreak your iPhone. However, it should also be noted that your iPhone may stuck on white Apple logo when you perform such operations.

If you are unfortunate to meet this situation, you want to find a method to fix your "iPhone stuck on Apple logo screen" issue. And to solve this problem, you must put your iPhone into recovery mode and restore from backup.

Here I recommend you try the professional program Tenorshare Reiboot for Windows or Tenorshare Reiboot for Mac. Both Windows and Mac versions can be used for free to help you fix iPhone stuck on the Apple logo screen. You can follow the specific tutorial below to put your iPhone into recovery mode.

Step 3. Run Tenorshare Reiboot, all you need to do is click on the button “Enter Recovery Mode” and you iPhone will be put into recovery mode.

Step 4. After enter into recover mode, now you can restore your iPhone by the use of iTunes.

Step 5. The last thing is click on “Exit Recovery Mode” button when the restore process is complete.

Now you have fixed iPhone stuck on white Apple logo screen for free, in addition, Tenorshare Reiboot also can deal with iPhone stuck on iTunes logo, reboot loop and other problem, and the most important thing is the software is completely free!